I'll break down the common issues and offer sample code for alternatives in a friendly way! In Python's asyncio, timeouts are handled primarily using the asyncio.wait_for() utility. It wraps a coroutine or task and raises an asyncio.TimeoutError if the specified duration is exceeded. A frequent misunderstanding is that asyncio.wait_for() magically stops the task exactly at the timeout mark. The Reality When asyncio.wait_for() raises TimeoutError, the underlying task is cancelled, but it might not stop execution immediately. The task needs to notice the cancellation (by checking task.cancelled() or catching asyncio.CancelledError) and clean up gracefully. If the task is stuck in a synchronous I/O call or a heavy CPU loop, it won't notice the cancellation until it returns to the event loop. import asyncio async def long_running_operation(): print("Task started...") This task doesn't check
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